Results 41 to 50 of about 177,203 (275)
SoftwareXStreet view imagery (SVI) is an increasingly important data source for urban analytics and environmental researchers studying the visual quality of the built environment.
Xiaohao Yang +2 more
doaj +1 more source
Magical urbanism:Walter Benjamin and utopian realism in the film Ratcatcher [PDF]
, 2002 Deploys Walter Benjamin to discuss fantastical representations of childhood and class in the film ...
Law, Alex, Law, Jan
core +3 more sources
Cross-View Image Matching for Geo-localization in Urban Environments
, 2017 In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching images in a reference database of geo-tagged bird's eye view images, or ...
Chen, Chen, Shah, Mubarak, Tian, Yicong
core +1 more source
International Journal of Applied Earth Observations and GeoinformationIn the context of urbanisation and growing disparities, timely and detailed spatial data on income inequality in cities is essential. We combined satellite imagery with streetlevel photographs provided by Google Street View to reveal the spatial ...
Oleksandr Karasov +4 more
doaj +1 more source
Multi-View Random Fields and Street-Side Imagery. [PDF]
J. WSCG, 2020 In this paper, we present a method that introduces graphical models into a multi-view scenario. We focus on a popular Random Fields concept that many researchers use to describe context in a single image and introduce a new model that can transfer context directly between matched images – Multi-View Random Fields.
Recky, Michal +2 more
openaire
Using Deep Learning and Google Street View to Estimate the Demographic Makeup of the US
, 2017 The United States spends more than $1B each year on initiatives such as the American Community Survey (ACS), a labor-intensive door-to-door study that measures statistics relating to race, gender, education, occupation, unemployment, and other ...
Aiden, Erez Lieberman +6 more
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Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
core +4 more sources
ACCURACY ASSESSMENT OF 3D MODELS GENERATED FROM GOOGLE STREET VIEW IMAGERY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Google Street View is a technology implemented in several Google services/applications (e.g. Google Maps, Google Earth) which provides the user, interested in viewing a particular location on the map, with panoramic images (represented in equi ...
N. Bruno, R. Roncella
doaj +1 more source
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks [PDF]
, 2014 Recognizing arbitrary multi-character text in unconstrained natural photographs is a hard problem. In this paper, we address an equally hard sub-problem in this domain viz. recognizing arbitrary multi-digit numbers from Street View imagery.
Arnoud, Sacha +4 more
core
Metric Localization using Google Street View
, 2015 Accurate metrical localization is one of the central challenges in mobile robotics. Many existing methods aim at localizing after building a map with the robot.
Agarwal, Pratik +2 more
core +1 more source